apify-audience-analysis

SKILL.md

Audience Analysis

Analyze and understand your audience using Apify Actors to extract follower demographics, engagement patterns, and behavior data from multiple platforms.

Prerequisites

(No need to check it upfront)

.env file with APIFY_TOKEN

Node.js 20.6+ (for native --env-file support)

mcpc CLI tool: npm install -g @apify/mcpc

Workflow

Copy this checklist and track progress:
Task Progress:
- [ ] Step 1: Identify audience analysis type (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the analysis script
- [ ] Step 5: Summarize findings

Step 1: Identify Audience Analysis Type

Select the appropriate Actor based on analysis needs:

User Need
Actor ID
Best For

Facebook follower demographics
apify/facebook-followers-following-scraper
FB followers/following lists

Facebook engagement behavior
apify/facebook-likes-scraper
FB post likes analysis

Facebook video audience
apify/facebook-reels-scraper
FB Reels viewers

Facebook comment analysis
apify/facebook-comments-scraper
FB post/video comments

Facebook content engagement
apify/facebook-posts-scraper
FB post engagement metrics

Instagram audience sizing
apify/instagram-profile-scraper
IG profile demographics

Instagram location-based
apify/instagram-search-scraper
IG geo-tagged audience

Instagram tagged network
apify/instagram-tagged-scraper
IG tag network analysis

Instagram comprehensive
apify/instagram-scraper
Full IG audience data

Instagram API-based
apify/instagram-api-scraper
IG API access

Instagram follower counts
apify/instagram-followers-count-scraper
IG follower tracking

Instagram comment export
apify/export-instagram-comments-posts
IG comment bulk export

Instagram comment analysis
apify/instagram-comment-scraper
IG comment sentiment

YouTube viewer feedback
streamers/youtube-comments-scraper
YT comment analysis

YouTube channel audience
streamers/youtube-channel-scraper
YT channel subscribers

TikTok follower demographics
clockworks/tiktok-followers-scraper
TT follower lists

TikTok profile analysis
clockworks/tiktok-profile-scraper
TT profile demographics

TikTok comment analysis
clockworks/tiktok-comments-scraper
TT comment engagement

Step 2: Fetch Actor Schema

Fetch the Actor's input schema and details dynamically using mcpc:

export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"

Replace ACTOR_ID with the selected Actor (e.g., apify/facebook-followers-following-scraper).

This returns:

Actor description and README

Required and optional input parameters

Output fields (if available)

Step 3: Ask User Preferences

Before running, ask:

Output format:

Quick answer - Display top few results in chat (no file saved)

CSV - Full export with all fields

JSON - Full export in JSON format

Number of results: Based on character of use case

Step 4: Run the Script

Quick answer (display in chat, no file):

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT'

CSV:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.csv \
  --format csv

JSON:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.json \
  --format json

Step 5: Summarize Findings

After completion, report:

Number of audience members/profiles analyzed

File location and name

Key demographic insights

Suggested next steps (deeper analysis, segmentation)

Error Handling

APIFY_TOKEN not found - Ask user to create .env with APIFY_TOKEN=your_token
mcpc not found - Ask user to install npm install -g @apify/mcpc
Actor not found - Check Actor ID spelling
Run FAILED - Ask user to check Apify console link in error output
Timeout - Reduce input size or increase --timeout